Wenlan Zhou

43 papers receiving 586 citations

Peers

Wenlan Zhou
Comparison fields: 5 of 52
  • Oncology 214
  • Cancer Research 92
  • Hepatology 44
  • Radiology, Nuclear Medicine and Imaging 128
  • Pathology and Forensic Medicine 88
Replace Laura Lavinia Travaini with:
Laura Lavinia Travaini Italy
Silvana de Castro Faria United States
Mark Trombetta United States
Eun Deok Chang South Korea
Luis E. De Las Casas United States
Karen Deraedt Belgium
Hye Jin Kang South Korea
Marta Braschi‐Amirfarzan United States
Weisi Yan United States
Wenlan Zhou relative to Laura Lavinia Travaini Italy Laura Lavinia Travaini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wenlan Zhou

Since Specialization
Citations

This map shows the geographic impact of Wenlan Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenlan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenlan Zhou more than expected).

Fields of papers citing papers by Wenlan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenlan Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenlan Zhou. The network helps show where Wenlan Zhou may publish in the future.

Co-authors

The 25 scholars most cited alongside Wenlan Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wenlan Zhou Line = papers co-authored together Wenlan Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022124
2 201041
3 201541
4 201140
5 202138
6 202234
7 201731
8 201028
9 201416
10 201716
11 202215
12 201713
13 201513
14 202512
15 201512
16 201410
17 201110
18 202310
19 20179
20 20218

About Wenlan Zhou

Wenlan Zhou is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 590 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Sarcoma Diagnosis and Treatment (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Protease and Inhibitor Mechanisms (4 papers), Cardiac tumors and thrombi (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Oncology (214 citations), Cancer Research (92 citations), Hepatology (44 citations), Radiology, Nuclear Medicine and Imaging (128 citations) and Pathology and Forensic Medicine (88 citations). Wenlan Zhou has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hubing Wu, Quanshi Wang, Hongsheng Li, Yanjiang Han, Shun Huang, Lijuan Wang, Ying Tian, Ganghua Tang, Qiaoyu Wang and Kongzhen Hu. Their work appears in journals such as Nuclear Medicine Communications, European Journal of Nuclear Medicine and Molecular Imaging, European Journal of Radiology, Amino Acids and Bioorganic & Medicinal Chemistry Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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